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WormPaths: Caenorhabditis elegans metabolic pathway annotation and visualization
- Source :
- bioRxiv, article-version (status) pre, article-version (number) 1
- Publication Year :
- 2021
-
Abstract
- In our group, we aim to understand metabolism in the nematode Caenorhabditis elegans and its relationships with gene expression, physiology and the response to therapeutic drugs. On March 15, 2020, a stay-at-home order was put into effect in the state of Massachusetts, USA, to flatten the curve of the spread of the novel SARS-CoV2 virus that causes COVID-19. For biomedical researchers in our state, this meant putting a hold on experiments for nine weeks until May 18, 2020. To keep the lab engaged and productive, and to enhance communication and collaboration, we embarked on an in-lab project that we all found important but that we never had the time for: the detailed annotation and drawing of C. elegans metabolic pathways. As a result, we present WormPaths, which is composed of two parts: 1) the careful manual annotation of metabolic genes into pathways, categories and levels, and 2) 66 pathway maps that include metabolites, metabolite structures, genes, reactions, and pathway connections between maps. These maps are available on our WormFlux website. We show that WormPaths provides easy-to-navigate maps and that the different levels in WormPaths can be used for metabolic pathway enrichment analysis of transcriptomic data. In the unfortunate event of additional lockdowns, we envision further developing these maps to be more interactive, with an analogy of road maps that are available on mobile devices.
- Subjects :
- Genetics
0303 health sciences
Nematode caenorhabditis elegans
Metabolic network
Computational biology
Biology
biology.organism_classification
Article
Visualization
Transcriptome
03 medical and health sciences
Annotation
Metabolic pathway
0302 clinical medicine
Animals
Caenorhabditis elegans
Gene
030217 neurology & neurosurgery
030304 developmental biology
Subjects
Details
- ISSN :
- 19432631
- Volume :
- 219
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Genetics
- Accession number :
- edsair.doi.dedup.....09f3ef385972629f9ddb291dde5cd330